scholarly journals A Fuzzy-Rule Based Data Delivery Scheme in VANETs with Intelligent Speed Prediction and Relay Selection

2018 ◽  
Vol 2018 ◽  
pp. 1-15 ◽  
Author(s):  
Yi Zhou ◽  
Huanhuan Li ◽  
Chenhao Shi ◽  
Ning Lu ◽  
Nan Cheng
Keyword(s):  
Relay Selection ◽  
Vehicular Networks ◽  
High Mobility ◽  
Fuzzy Rule ◽  
Learning System ◽  
Delivery Ratio ◽  
Data Delivery ◽  
Vehicle Speed ◽  
Hop Count ◽  
Rule Based

Data delivery in vehicular networks (VANETs) is a challenging task due to the high mobility and constant topological changes. In common routing protocols, multihop V2V communications suffer from higher network delay and lower packet delivery ratio (PDR), and excessive dependence on GPS may pose threat on individual privacy. In this paper, we propose a novel data delivery scheme for vehicular networks in urban environments, which can improve the routing performance without relying on GPS. A fuzzy-rule-based wireless transmission approach is designed to optimize the relay selection considering multiple factors comprehensively, including vehicle speed, driving direction, hop count, and connection time. Wireless V2V transmission and wired transmissions among RSUs are both utilized, since wired transmissions can reduce the delay and improve the reliability. Each RSU is equipped with a machine learning system (MLS) to make the selected relay link more reliably without GPS through predicting vehicle speed at next moment. Experiments show the validity and rationality of the proposed method.

scholarly journals UAV-Aided Data Delivery Scheme Based on Opportunistic Virtual Intersections for Smart Transportation Networks

2019 ◽  
Vol 2019 ◽  
pp. 1-11
Author(s):  
Wei Li ◽  
Xianxing Liu ◽  
Xiaoyong Ma ◽  
Xianwei Wang ◽  
Yi Zhou
Keyword(s):  
Vehicular Networks ◽  
Transportation Networks ◽  
High Mobility ◽  
Delivery Ratio ◽  
Data Delivery ◽  
Smart Transportation ◽  
Data Packets ◽  
Delivery Delay ◽  
Intermittent Connectivity ◽  
Delivery Probability

Smart transportation networks, featured by high mobility and intermittent connectivity, are facing critical challenges in data delivery especially when the network is sparse and with less or no support from any infrastructure, such as in disaster and military environments. Unmanned aerial vehicles (UAVs), due to their flexible mobility, can be envisioned to enhance the connectivity of ground vehicular networks. In this paper, incorporating UAVs into vehicular networks, a novel data delivery scheme, named UAV-assisted data delivery (UADD), is proposed for smart transportation networks. We introduce a novel concept called “opportunistic virtual intersections”, at which UAVs can communicate with ground vehicles, and assist to deliver data packets. Specifically, at an opportunistic virtual intersection, UAVs may act as a relay, which can relay data packets between two vehicles as an intermediate hop, or deliver data packets in a store-carry-and-forward manner. The data forwarding rules are devised based on expected delivery delay and delivery probability of data packets. The performance evaluation demonstrates that the proposed UAV-assisted data delivery scheme can achieve a significant improvement of data delivery performance in terms of delivery delay and delivery ratio.

scholarly journals Hybrid Position-Based and DTN Forwarding for Vehicular Sensor Networks

2012 ◽  
Vol 8 (4) ◽  
pp. 186146 ◽  
Author(s):  
Fan Li ◽  
Lei Zhao ◽  
Xiumei Fan ◽  
Yu Wang
Keyword(s):  
Sensor Networks ◽  
Routing Protocols ◽  
Large Scale ◽  
Vehicular Networks ◽  
Ad Hoc ◽  
Delivery Ratio ◽  
Data Delivery ◽  
Ad Hoc Routing ◽  
Efficient Data ◽  
Set Up

Efficient data delivery in vehicular sensor networks is still a challenging research issue. Position-based routing protocols have been proven to be more suitable for dynamic vehicular networks or large-scale mobile sensor networks than traditional ad hoc routing protocols. However, position-based routing assumes that intermediate nodes can always be found to set up an end-to-end connection between the source and the destination; otherwise, it suffers from network partitions which are very common in vehicular networks and leads to poor performances. This paper addresses data delivery challenge in the possible intermittently connected vehicular sensor networks by combining position-based forwarding strategy with store-carry-forward routing scheme from delay tolerant networks. The proposed routing method makes use of vehicle driving direction to determine whether holding or forwarding the packet. Experimental results show that the proposed mechanism outperforms existing position-based solutions in terms of packet delivery ratio.

Evaluation of an IoT-based e-learning testbed

2017 ◽  
Vol 13 (1) ◽  
pp. 2-13 ◽  
Author(s):  
Masafumi Yamada ◽  
Miralda Cuka ◽  
Yi Liu ◽  
Tetsuya Oda ◽  
Keita Matsuo ◽  
...  
Keyword(s):  
Learning Systems ◽  
Learning System ◽  
Raspberry Pi ◽  
Delivery Ratio ◽  
Hop Count ◽  
Content Type ◽  
Link State ◽  
Constant Bit Rate ◽  
E Learning ◽  
Optimized Link State Routing

Purpose This paper aims to present the design and implementation of an Internet of Things (IoT)-based e-learning testbed using Raspberry Pi mounted on Raspbian operating system (OS). Design/methodology/approach The testbed is composed of five Raspberry Pi B+ computers. The experiments are carried out in the department floor considering an non line of sight (NLoS) environment. Single constant bit rate (CBR) flows were transmitted over user datagram protocol (UDP), and data were collected for five metrics: throughput, packet delivery ratio (PDR), hop count, delay and jitter using the Iperf. Findings The implemented testbed was evaluated using experiments. The experimental results showed that the nodes in the testbed were communicating smoothly, and by using attention value, the learner concentration is increased. Research limitations/implications The performance of the Optimized Link State Routing (OLSR) protocol was analyzed in a floor environment considering the NLoS scenario. However, this testbed can be implemented to other protocols also. Originality/value Because of the opportunities provided by the internet, people are taking advantage of e-learning courses, and enormous research efforts have been dedicated to the development of e-learning systems. To date, many e-learning systems are proposed and used practically. However, in these systems, the e-learning completion rate is low. To deal with this problem, an IoT-based e-learning system was implemented to increase the e-learning completion ratio by increasing the learner concentration.

scholarly journals Effective Traffic Management System for Vehicular Network

2019 ◽  
Vol 9 (1) ◽  
pp. 453-457
Keyword(s):  
Routing Protocols ◽  
Traffic Congestion ◽  
Traffic Management ◽  
Vehicular Ad Hoc Networks ◽  
Intelligent Transportation System ◽  
High Mobility ◽  
Delivery Ratio ◽  
Data Delivery ◽  
Traffic Light ◽  
Priority Assignment

Vehicular ad hoc networks are becoming the promising research topic in Intelligent transportation system. VANET enable the collaboration amongst multiple vehicle communication which supports by their arrangement and infrastructure for consistent data delivery services. Due to high mobility of vehicles, the data cannot be delivered between vehicles with change in their topologies and its becoming an emerging high area in the field of research. However, the ideal characteristics of vanet routing protocols make proper connectivity for reliable and effective data delivery in traffic scenarios. This article starts with traffic congestion and dissemination of the information to nearby vehicles for making smart city into a very smarter one. As a result of miscommunication between the vehicles , severe accidents happened scores of times especially in the traffic prevailing areas. In order to mitigate terrible accidents, We then focus on (traffic light aware routing protocol) TLRC with (Soft Reservation Multiple Access with Priority Assignment) SRMA/PA routing protocols at intersections and traffic light signals under traffic congestion. In Sum, this article enriches the performance of data delivery ratio and end to end delay in exchanging data between Vanet equipped vehicles.

scholarly journals Towards Optimal Dissemination of Emergency Messages in Internet of Vehicles: A Dynamic Clustering-Based Approach

Electronics ◽  
2021 ◽  
Vol 10 (8) ◽  
pp. 979
Author(s):  
Nadjet Azzaoui ◽  
Ahmed Korichi ◽  
Bouziane Brik ◽  
Med el Amine Fekair
Keyword(s):  
Road Safety ◽  
Vehicular Networks ◽  
Data Dissemination ◽  
Cluster Head ◽  
High Mobility ◽  
Delivery Ratio ◽  
Dynamic Clustering ◽  
Selection Algorithm ◽  
Internet Of Vehicles ◽  
Broadcast Storm

In this paper, we target dissemination issues of emergency messages in a highly dynamic Internet of Vehicles (IoV) network. IoV is emerging as a new class of vehicular networks to optimize road safety as well as users’ comfort. In such a context, forwarding emergency messages through vehicle-to-vehicle communications (V2V) plays a vital role in enabling road safety-related applications. For instance, when an accident occurs, forwarding such information in real time will help to avoid other accidents in addition to avoiding congestion of network traffic. Thus, dissemination of emergency information is a major concern. However, on the one hand, vehicle density has increased in the last decade which may lead to several issues including message collisions, broadcast storm, and the problem of hidden nodes. On the other hand, high mobility of vehicles and hence dynamic changes of network topology result in failure of dissemination of emergency packets. To overcome these problems, we propose a new dissemination scheme of emergency packets by vehicles equipped with both DSRC and cellular LTE wireless communication capabilities. Our scheme is based on a dynamic clustering strategy, which includes a new cluster head selection algorithm to deal with the broadcast storm problem. Furthermore, our selection algorithm enables not only the election of the most stable vehicles as cluster heads, and hence their exploitation in forwarding the emergency information, but also the avoidance of packet collisions. We simulated our scheme in an urban environment and compared it with other data dissemination schemes. Obtained results show the efficiency of our scheme in minimizing collision and broadcast storm problems, while improving latency, packet delivery ratio and data throughput, as compared to other schemes.

Face Recognition by Fuzzy Rule-Based Local Binary Pattern

2014 ◽  
Vol 8 (3) ◽  
pp. 31-34
Author(s):  
O. Rama Devi ◽  
◽  
L. S. S. Reddy ◽  
E. V. Prasad ◽  
◽  
...  
Keyword(s):  
Face Recognition ◽  
Local Binary Pattern ◽  
Fuzzy Rule ◽  
Rule Based

MRI Brain Tumor Image Analysis Using Fuzzy Rule based Approach

2019 ◽  
Vol 50 (2) ◽  
pp. 98-112 ◽  
Author(s):  
KALYAN KUMAR JENA ◽  
SASMITA MISHRA ◽  
SAROJANANDA MISHRA ◽  
SOURAV KUMAR BHOI ◽  
SOUMYA RANJAN NAYAK
Keyword(s):  
Image Analysis ◽  
Brain Tumor ◽  
Fuzzy Rule ◽  
Rule Based ◽  
Mri Brain ◽  
Rule Based Approach
Sign in / Sign up

Export Citation Format

Share Document